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Jonathan Weare
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2020 – today
- 2024
- [c1]Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare:
Improved Active Learning via Dependent Leverage Score Sampling. ICLR 2024 - [i9]Xiaoou Cheng, Jonathan Weare:
The surprising efficiency of temporal difference learning for rare event prediction. CoRR abs/2405.17638 (2024) - 2023
- [j15]John Strahan, Justin Finkel, Aaron R. Dinner, Jonathan Weare:
Predicting rare events using neural networks and short-trajectory data. J. Comput. Phys. 488: 112152 (2023) - [i8]Jonathan Weare, Robert J. Webber:
Randomly sparsified Richardson iteration is really fast. CoRR abs/2309.17270 (2023) - [i7]Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare:
Improved Active Learning via Dependent Leverage Score Sampling. CoRR abs/2310.04966 (2023) - 2022
- [j14]Michael J. Holst, Houdong Hu, Jianfeng Lu
, Jeremy Louis Marzuola
, Duo Song
, Jonathan Weare:
Symmetry Breaking and the Generation of Spin Ordered Magnetic States in Density Functional Theory Due to Dirac Exchange for a Hydrogen Molecule. J. Nonlinear Sci. 32(6): 89 (2022) - [j13]Michael Lindsey
, Jonathan Weare, Anna Zhang:
Ensemble Markov Chain Monte Carlo with Teleporting Walkers. SIAM/ASA J. Uncertain. Quantification 10(3): 860-885 (2022) - [j12]Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare:
Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification. SIAM J. Sci. Comput. 44(5): 3067- (2022) - [i6]Huan Zhang, Robert J. Webber, Michael Lindsey, Timothy C. Berkelbach, Jonathan Weare:
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables. CoRR abs/2211.09767 (2022) - 2021
- [j11]Jacob Roth, David A. Barajas-Solano
, Panos Stinis
, Jonathan Weare, Mihai Anitescu
:
A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. Multiscale Model. Simul. 19(1): 208-241 (2021) - [j10]Robert J. Webber
, Erik H. Thiede
, Douglas Dow, Aaron R. Dinner, Jonathan Weare:
Error Bounds for Dynamical Spectral Estimation. SIAM J. Math. Data Sci. 3(1): 225-252 (2021) - [j9]Zachary M. Boyd
, Nicolas Fraiman
, Jeremy Louis Marzuola
, Peter J. Mucha, Braxton Osting
, Jonathan Weare:
A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities. SIAM J. Math. Data Sci. 3(2): 467-493 (2021) - [i5]Samuel M. Greene
, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare:
Approximating matrix eigenvalues by randomized subspace iteration. CoRR abs/2103.12109 (2021) - [i4]Michael Lindsey, Jonathan Weare, Anna Zhang:
Ensemble Markov chain Monte Carlo with teleporting walkers. CoRR abs/2106.02686 (2021) - 2020
- [j8]Aaron R. Dinner, Erik H. Thiede
, Brian Van Koten
, Jonathan Weare:
Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification 8(3): 1139-1188 (2020) - [i3]Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare:
Error bounds for dynamical spectral estimation. CoRR abs/2005.02248 (2020) - [i2]Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare:
A metric on directed graphs and Markov chains based on hitting probabilities. CoRR abs/2006.14482 (2020)
2010 – 2019
- 2019
- [i1]Jacob Roth, David A. Barajas-Solano, Panagiotis Stinis, Jonathan Weare, Mihai Anitescu:
A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. CoRR abs/1912.08081 (2019) - 2018
- [j7]Benedict J. Leimkuhler, Charles Matthews
, Jonathan Weare:
Ensemble preconditioning for Markov chain Monte Carlo simulation. Stat. Comput. 28(2): 277-290 (2018) - [j6]Aaron R. Dinner, Jonathan C. Mattingly
, Jeremy O. B. Tempkin
, Brian Van Koten
, Jonathan Weare:
Trajectory Stratification of Stochastic Dynamics. SIAM Rev. 60(4): 909-938 (2018) - 2017
- [j5]Lek-Heng Lim, Jonathan Weare:
Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra. SIAM Rev. 59(3): 547-587 (2017) - 2015
- [j4]Erik H. Thiede
, Brian Van Koten
, Jonathan Weare:
Sharp Entrywise Perturbation Bounds for Markov Chains. SIAM J. Matrix Anal. Appl. 36(3): 917-941 (2015)
2000 – 2009
- 2009
- [j3]Jonathan Weare:
Particle filtering with path sampling and an application to a bimodal ocean current model. J. Comput. Phys. 228(12): 4312-4331 (2009) - [j2]Dror Givon, Panagiotis Stinis, Jonathan Weare:
Variance Reduction for Particle Filters of Systems With Time Scale Separation. IEEE Trans. Signal Process. 57(2): 424-435 (2009)
1990 – 1999
- 1998
- [j1]Florence Horn, Jonathan Weare, Margot W. Beukers, S. Hörsch, Amos Bairoch
, W. Chen, Øyvind Edvardsen, Fabien Campagne
, Gert Vriend:
GPCRDB: an information system for G protein-coupled receptors. Nucleic Acids Res. 26(1): 275-279 (1998)
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last updated on 2024-07-30 20:46 CEST by the dblp team
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